Publication:
Validating a breast cancer score in Spanish women. The MCC-Spain study.

dc.contributor.authorDierssen-Sotos, Trinidad
dc.contributor.authorGómez-Acebo, Inés
dc.contributor.authorPalazuelos, Camilo
dc.contributor.authorFernández-Navarro, Pablo
dc.contributor.authorAltzibar, Jone M
dc.contributor.authorGonzález-Donquiles, Carmen
dc.contributor.authorArdanaz, Eva
dc.contributor.authorBustamante, Mariona
dc.contributor.authorAlonso-Molero, Jessica
dc.contributor.authorVidal, Carmen
dc.contributor.authorBayo-Calero, Juan
dc.contributor.authorTardón, Adonina
dc.contributor.authorSalas, Dolores
dc.contributor.authorMarcos-Gragera, Rafael
dc.contributor.authorMoreno, Víctor
dc.contributor.authorRodriguez-Cundin, Paz
dc.contributor.authorCastaño-Vinyals, Gemma
dc.contributor.authorEderra, María
dc.contributor.authorVilorio-Marqués, Laura
dc.contributor.authorAmiano, Pilar
dc.contributor.authorPérez-Gómez, Beatriz
dc.contributor.authorAragonés, Nuria
dc.contributor.authorKogevinas, Manolis
dc.contributor.authorPollán, Marina
dc.contributor.authorLlorca, Javier
dc.date.accessioned2023-01-25T10:03:57Z
dc.date.available2023-01-25T10:03:57Z
dc.date.issued2018-02-14
dc.description.abstractA breast-risk score, published in 2016, was developed in white-American women using 92 genetic variants (GRS92), modifiable and non-modifiable risk factors. With the aim of validating the score in the Spanish population, 1,732 breast cancer cases and 1,910 controls were studied. The GRS92, modifiable and non-modifiable risk factor scores were estimated via logistic regression. SNPs without available genotyping were simulated as in the aforementioned 2016 study. The full model score was obtained by combining GRS92, modifiable and non-modifiable risk factor scores. Score performances were tested via the area under the ROC curve (AUROC), net reclassification index (NRI) and integrated discrimination improvement (IDI). Compared with non-modifiable and modifiable factor scores, GRS92 had higher discrimination power (AUROC: 0.6195, 0.5885 and 0.5214, respectively). Adding the non-modifiable factor score to GRS92 improved patient classification by 23.6% (NRI = 0.236), while the modifiable factor score only improved it by 7.2%. The full model AUROC reached 0.6244. A simulation study showed the ability of the full model for identifying women at high risk for breast cancer. In conclusion, a model combining genetic and risk factors can be used for stratifying women by their breast cancer risk, which can be applied to individualizing genetic counseling and screening recommendations.
dc.identifier.doi10.1038/s41598-018-20832-0
dc.identifier.essn2045-2322
dc.identifier.pmcPMC5813036
dc.identifier.pmid29445177
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813036/pdf
dc.identifier.unpaywallURLhttps://www.nature.com/articles/s41598-018-20832-0.pdf
dc.identifier.urihttp://hdl.handle.net/10668/12141
dc.issue.number1
dc.journal.titleScientific reports
dc.journal.titleabbreviationSci Rep
dc.language.isoen
dc.organizationHospital Universitario Juan Ramón Jiménez
dc.organizationHospital Infanta Elena
dc.page.number3036
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshArea Under Curve
dc.subject.meshBreast Neoplasms
dc.subject.meshCase-Control Studies
dc.subject.meshFemale
dc.subject.meshGenetic Predisposition to Disease
dc.subject.meshGenetic Testing
dc.subject.meshHumans
dc.subject.meshLogistic Models
dc.subject.meshMass Screening
dc.subject.meshModels, Statistical
dc.subject.meshPolymorphism, Single Nucleotide
dc.subject.meshROC Curve
dc.subject.meshReproducibility of Results
dc.subject.meshRisk Assessment
dc.subject.meshRisk Factors
dc.subject.meshSpain
dc.subject.meshWhite People
dc.titleValidating a breast cancer score in Spanish women. The MCC-Spain study.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number8
dspace.entity.typePublication

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